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Sep 20, 2016
09/16

by
Savage, I. Richard

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Topic: Nonparametric statistics

Naval Postgraduate School

143
143

Dec 14, 2012
12/12

by
Jacobs, Patricia A.Gaver, Donald Paul.

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Title from cover

Topic: NONPARAMETRIC STATISTICS.

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31

Oct 9, 2015
10/15

by
Jacobs, Patricia A.Gaver, Donald Paul.

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Title from cover

Topic: NONPARAMETRIC STATISTICS.

85
85

Sep 20, 2016
09/16

by
Savage, I. Richard

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Topic: Nonparametric statistics

5
5.0

Oct 16, 2018
10/18

by
Edgington, Eugene S., 1924-

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211 pages 23 cm

Topics: Nonparametric statistics, Sociometric Techniques, Statistics as Topic, Nonparametric statistics

http://uf.catalog.fcla.edu/uf.jsp?st=UF030570141%26ix=pm%26I=0%26V=D%26pm=1

Topics: Nonparametric statistics, Regression analysis.

Typescript

Topics: Nonparametric statistics, Mathematical statistics

Folkscanomy: A Library of Books

442
442

Dec 29, 2015
12/15

by
International Conference on Robust Statistics (2003 : Antwerp, Belgium); Hubert, Mia, 1970-

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Theory and Applications of Recent Robust Methods Author: Mia Hubert, Greet Pison, Anja Struyf, Stefan Van Aelst Published by Birkhäuser Basel ISBN: 978-3-0348-9636-8 DOI: 10.1007/978-3-0348-7958-3 Table of Contents: Bias Behavior of the Minimum Volume Ellipsoid Estimate A Study of Belgian Inflation, Relative Prices and Nominal Rigidities using New Robust Measures of Skewness and Tail Weight Robust Strategies for Quantitative Investment Management An Adaptive Algorithm for Quantile Regression...

Topics: Nonparametric statistics, Robust statistics, Regression analysis, Regression analysis,...

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28

Nov 4, 2014
11/14

by
Tapia, Richard A; Thompson, James R. (James Robert), 1938- joint author

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Includes index

Topics: Distribution (Probability theory), Estimation theory, Nonparametric statistics

ADA092404

Topics: NONPARAMETRIC STATISTICS., PUBLIC OPINION POLLS--STATISTICAL METHODS.

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Oct 7, 2015
10/15

by
Blanton, Gerald Bertram.

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ADA092404

Topic: NONPARAMETRIC STATISTICS.,PUBLIC OPINION POLLS--STATISTICAL METHODS.

Typescript

Topics: Failure time data analysis, Nonparametric statistics, Biometry

This thesis seeks to identify factors affecting the probability of selection of a Surface Warfare Officer (SWO) to Executive Officer (XO) in the U.S. Navy. Selections to XO are made by a board that meets annually. Because a candidate is considered for selection in up to three consecutive boards, the possible outcomes in this process are selection to XO in one of three annual boards, failure to be selected to XO in the third board, or attrition from the process between boards. Using data on the...

Topics: Operations research, Education, Nonparametric statistics, Mathematical models, Sailors,...

111
111

Mar 30, 2012
03/12

by
Siegel, Sidney, 1916-1961. cn

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Topics: Experimental design, Social sciences, Nonparametric statistics, Experimental design

Two nonparametric statistical methods, the inverse normal scores method and the rank order transformation, are compared for use in discriminant function analysis. The methods are compared for both normal and non-normal distributions. When the distributions are normal, the rank and inverse normal scores methods are effective substitutes for the linear discriminant function (LDF) and the quadratic discriminant function (QDF). When the populations are non-normal, the LDF methods based on the ranks...

Topics: ERIC Archive, Discriminant Analysis, Hypothesis Testing, Nonparametric Statistics

Introduction to Nonparametric Statistics for the Biological Sciences Using R

Topic: Introduction to Nonparametric Statistics for the Biological Sciences Using R

DETECT is a nonparametric, conditional covariance-based procedure to identify dimensional structure and the degree of multidimensionality of test data. The ability composite or conditional score used to estimate conditional covariance plays a significant role in the performance of DETECT. The number correct score of all items in the test (T) and the number correct score of remaining items (S), other than the two items in consideration, are two natural candidates for computing conditional...

Topics: ERIC Archive, Estimation (Mathematics), Nonparametric Statistics, Scores, Simulation, Zhang, Yanwei...

This Digest presents a discussion of the assumptions of multiple regression that is tailored to the practicing researcher. The focus is on the assumptions of multiple regression that are not robust to violation, and that researchers can deal with if violated. Assumptions of normality, linearity, reliability of measurement, and homoscedasticity are considered. Checking these assumptions carries significant benefits for the researcher, and making sure an analysis meets the associated assumptions...

Topics: ERIC Archive, Error of Measurement, Nonparametric Statistics, Regression (Statistics), Reliability,...

Nonparametric procedures are often more powerful than classical tests for real world data, which are rarely normally distributed. However, there are difficulties in using these tests. Computational formulas are scattered throughout the literature, and there is a lack of availability of tables of critical values. This paper brings together the computational formulas for 20 commonly used nonparametric tests that have large-sample approximations for the critical value. Because there is no...

Topics: ERIC Archive, Monte Carlo Methods, Nonparametric Statistics, Sample Size, Statistical...

This study investigated how population parameters representing heterogeneity of variance, skewness, kurtosis, bimodality, and outlier-proneness, drawn from normal and eleven non-normal distributions, also characterized the ranks corresponding to independent samples of scores. When the parameters of population distributions from which samples were drawn were different, the ranks corresponding to the same pairs of samples of scores inherited similar differences. This finding explains some known...

Topics: ERIC Archive, Statistical Analysis, Nonparametric Statistics, Scores, Error Patterns, Probability,...

The Delphi method is a means of structuring group communication process so that a group of experts can gather information or forecast future problems effectively. A primary objective of a Delphi study is to obtain consensual and consistent opinions from a group of experts in two or more successive rounds on a given research subject. Consensus and consistency are presumed to have been reached when a stopping criterion used for determining a consensus has been met. This study examined two...

Topics: ERIC Archive, Delphi Technique, Nonparametric Statistics, Reliability, Simulation, Yang, Yu Nu

Too often researchers rely upon the classical normal theory parametric tests to analyze non-normal data, even though the tests may not be robust to violations of that assumption. Fligner's class of two-sample tests for scale is an important development because the test is distribution-free and has desirable properties. This paper outlines the development of the k-sample extension of the two-sample Fligner class of tests, based upon the generalized Puri model. Assuming rejection of the null...

Topics: ERIC Archive, Hypothesis Testing, Nonparametric Statistics, Research Problems, Statistical...

The Cochran Q and the Minimum X sub one squared statistics are two ways to test a hypothesis of equivalent correlated proportions. This study investigated the small sample properties of Q and X sub one squared by Monte Carlo methods. The observed distributions were compared for their rates of covergence to the limiting theoretical X sub one squared distribution, and for the degree to which their error rates approximated the nominal error rates. These latter comparisons allowed for...

Topics: ERIC Archive, Comparative Analysis, Correlation, Hypothesis Testing, Matched Groups, Nonparametric...

Multivariate models are demonstrated to analyze repeated measures profile and growth curve data when univariate or multivariate mixed model assumptions are not tenable. Standard mixed model tests are recovered from certain multivariate hypotheses. The procedures are illustrated using numerical examples. (Author/RC)

Topics: ERIC Archive, Hypothesis Testing, Matrices, Models, Nonparametric Statistics, Profiles, Statistical...

A randomization model appropriate for evaluating priority effects in free recall (i.e., whether "new" items are recalled prior to "old" items) is discussed and related to well-known nonparametric significance tests. Since the bases for the measures that have been suggested in the psychological literature may be interpreted either in terms of Wilcoxon's rank sum statistic or through a specific entry in a 2 x 2 contingency table, alternative indices of priority can be adopted...

Topics: ERIC Archive, Correlation, Mathematical Models, Measurement Techniques, Nonparametric Statistics,...

Various cases of unequal variances and unequal sample sizes from a normal and a skewed population were used to empirically obtain the probability of a Type I error and the power for the permutation t-test as compared to Student's t-test and the Mann-Whitney U-test. Empirical results showed differences for different sample sizes, variance ratios, population sampled, and size of mean of the population. The power of the permutation t-test is very close to or greater than that of Student's t-test...

Topics: ERIC Archive, Nonparametric Statistics, Research Methodology, Statistical Analysis, Statistical...

Many researchers recognize that factor analysis can be conducted on both correlation matrices and variance-covariance matrices. Although most researchers extract factors from non-distribution free or parametric methods, researchers can also extract factors from distribution free or non-parametric methods. The nature of the data dictates the method selected. The purpose of this paper is to differentiate between the questions asked by Pearson product-moment correlations and Spearman's rho...

Topics: ERIC Archive, Factor Analysis, Comparative Analysis, Correlation, Nonparametric Statistics,...

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Jul 18, 2014
07/14

by
Devroye, Luc; Györfi, László

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Includes bibliographies and index

Topics: Distribution (Probability theory), Estimation theory, Nonparametric statistics, Probabilities...

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940

Jul 12, 2010
07/10

by
NON

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Techniques are discussed in the following areas: astrometry, photometry, infrared observations, radio observations, spectroscopy, imaging of coma and tail, image processing of observation. The determination of the chemical composition and physical structure of comets is highlighted.

Topics: ANALYSIS OF VARIANCE, NONPARAMETRIC STATISTICS, STATISTICAL ANALYSIS, STATISTICAL DISTRIBUTIONS,...

Three different nonparametric tests for scale--the Siegel-Tukey (S-T), the Mood (M), and the Normal Scores (NS)--are compared in order to contrast varying methods of scale test development and usage. Procedures for developing the three scale tests are discussed, and two examples of the use of each test in solving the same problem are given. From the results obtained in the two examples, it is apparent that all the three tests tend to give equivalent answers. (DB)

Topics: ERIC Archive, Comparative Analysis, Nonparametric Statistics, Statistical Studies, Test...

Item response theory (IRT) has been adapted as the theoretical foundation of computerized adaptive testing (CAT) for several decades. In applying IRT to CAT, there are certain considerations that are essential, and yet tend to be neglected. These essential issues are addressed in this paper, and then several ways of eliminating noise and bias in estimating the individual parameter, theta, of person "a" are proposed and discussed, so that accuracy and efficiency in ability estimation...

Topics: ERIC Archive, Ability, Adaptive Testing, Estimation (Mathematics), Item Response Theory,...

Most researchers using factor analysis extract factors from a matrix of Pearson product-moment correlation coefficients. A method is presented for extracting factors in a non-parametric way, by extracting factors from a matrix of Spearman rho (rank correlation) coefficients. It is possible to factor analyze a matrix of association such that neither means, variances, nor monotonicity of distances between ordered pairs of scores will affect the results, by factor analyzing a matrix of Spearman's...

Topics: ERIC Archive, Correlation, Factor Analysis, Heuristics, Mathematical Models, Matrices,...

Methods for detecting item score patterns that are unlikely (aberrant) given that a parametric item response theory (IRT) model gives an adequate description of the data or given the responses of the other persons in the group are discussed. The emphasis here is on the latter group of statistics. These statistics can be applied when a nonparametric model is used to fit the data or when the data are described in the absence of an IRT model. After discussion of the literature on person-fit...

Topics: ERIC Archive, Foreign Countries, Identification, Item Response Theory, Nonparametric Statistics,...

A new method is presented for flexible regression modeling of high dimensional data. The model takes the form of an expansion in product spline basis functions, where the number of basis functions as well as the parameters associated with each one (product degree and knot locations) are automatically determined by the data. This procedure is motivated by the recursive partitioning approach to regression and shares its attractive properties. Unlike recursive partitioning, however this method...

Topics: DTIC Archive, STANFORD UNIV CA DEPT OF STATISTICS, *MULTIVARIATE ANALYSIS, *REGRESSION ANALYSIS,...

A two-sample, two-stage non-parametric estimation problem is studied. The parameter phi phi(F, G) under consideration is estimable (i.e., there exists an unbiased estimator which is a function of independent observations from two populations with cumulative distribution functions F(X) and G(Y). (Hence, it is called a two-sample problem.) The functions F(X) and G(Y) will be restricted to be members of a specified class, D, of pairs of cumulative distribution functions, described in the context....

Topics: DTIC Archive, Yen, Elizabeth Y, MINNESOTA UNIV MINNEAPOLIS, *NONPARAMETRIC STATISTICS,...

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94

Feb 16, 2010
02/10

by
Hollander, Myles; Wolfe, Douglas A., joint author

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Bibliography: p. 467-490

Topics: Nonparametric statistics, Biometry, Statistics, Estadística matemática, Statistique non...

This paper illustrates the relevance and utility of non-parametric statistical tests, such as the Kolmogorov-Smirnov two sample test, for analysis of developmental phenomena. This statistic tests the null hypothesis that two samples have been drawn from the same population by comparing their whole distributions, rather than specific parameters and makes no assumptions about their shapes. This comparison allows one to test the assumption that the groups are similar on the pretest. The same test...

Topics: ERIC Archive, Developmental Stages, Nonparametric Statistics, Research Methodology, Research...

Statistics such as chi-square, phi, and Cramer's V are related to the R squared statistic of regression analysis. It is shown that the proportion of variance accounted for can be computed from many contingency table situations. (JKS)

Topics: ERIC Archive, Expectancy Tables, Hypothesis Testing, Multiple Regression Analysis, Nonparametric...

We show that the class of discrete decreasing failure rate (DFR) life distributions is a convex class. We then obtain the extreme points of this class. Finally we show how to represent any discrete DFR distribution as a mixture of these extreme points. (Author)

Topics: DTIC Archive, Langberg,Naftali A, FLORIDA STATE UNIV TALLAHASSEE DEPT OF STATISTICS, *FAILURE,...

Interest in paired comparisons in statistics and psychometrics has developed in the contexts of the design of experiments, nonparametric statistics, and scaling, including multidimensional scaling. Applications have arisen in many areas, but most notably in food technology. marketing research, and sports competition. Paired comparisons have been considered in design of experiments as incomplete block designs with block size two by Clatworthy and others. Scheffe developed and analysis of...

Topics: DTIC Archive, Bradley,Ralph A, FLORIDA STATE UNIV TALLAHASSEE DEPT OF STATISTICS, *NONPARAMETRIC...

Behavioral scientists often wish to determine if a sample has been taken from a symmetric population. Similarly, classroom teachers are interested in symmetry if they wish to grade on a "curve." Previously, the sign test, the Wilcoxon test and the t-test have been used to test a hypothesis concerning the symmetry of a distribution of scores about a location parameter. Another test, which is more powerful than either the sign test (S) or the Wilcoxon test (W), and as powerful as the...

Topics: ERIC Archive, Hypothesis Testing, Nonparametric Statistics, Research Methodology, Sampling,...

Nonparametric statistics are often difficult to teach in introduction to statistics courses because of the lack of real-world examples. This study demonstrated how teachers can use differences in the rankings and ratings of undergraduate and graduate values to discuss: (1) ipsative and normative scaling; (2) uses of the Mann-Whitney U-test; and (3) the importance of statistical significance, protected t-tests, and effect sizes. Participants were 32 junior and senior undergraduates in a research...

Topics: ERIC Archive, College Students, Electronic Mail, Higher Education, Nonparametric Statistics,...

In a Monte Carlo analysis of single-subject data, Type I and Type II error rates were compared for various statistical tests of the significance of treatment effects. Data for 5,000 subjects in each of 6 treatment effect size groups were computer simulated, and 2 types of treatment effects were simulated in the dependent variable during intervention phases, resulting in mean change in level or mean change in slope. Significance test statistics were based on explained variance indicated by...

Topics: ERIC Archive, Computer Simulation, Effect Size, Monte Carlo Methods, Nonparametric Statistics,...

Test scores are commonly reported in a small number of ordered categories. Examples of such reporting include state accountability testing, Advanced Placement tests, and English proficiency tests. This paper introduces and evaluates methods for estimating achievement gaps on a familiar standard-deviation-unit metric using data from these ordered categories alone. These methods hold two practical advantages over alternative achievement gap metrics. First, they require only categorical...

Topics: ERIC Archive, Achievement Gap, Scores, Computation, Classification, Methods, Nonparametric...

Researchers are often in a dilemma as to whether parametric or nonparametric procedures should be cited when assumptions of the parametric methods are thought to be violated. Therefore, the Kruskal-Wallis test and the ANOVA F-test were empirically compared in terms of probability of a Type I error and power under various patterns of mean differences in combination with patterns of variance inequality, and patterns of sample size inequality. The Kruskal-Wallis test was found to be competitive...

Topics: ERIC Archive, Analysis of Variance, Comparative Analysis, Nonparametric Statistics, Sampling,...

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51

May 4, 2010
05/10

by
Tanizaki, Hisashi

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System requirements for CD-ROM: PC with Windows XP or comparable system

Topics: Statistics, Econometrics, Monte Carlo method, Nonparametric statistics, Statistiek, Econometrie,...

Bootstrap analysis, both for nonparametric statistical inference and for describing sample results stability and replicability, has been gaining prominence among quantitative researchers in educational and psychological research. Procedurally, however, it is often quite a challenge for quantitative researchers to implement bootstrap analysis in their research because bootstrap analysis is typically not an automated program option in statistical software programs. This paper uses a few heuristic...

Topics: ERIC Archive, Computer Software, Educational Research, Heuristics, Nonparametric Statistics,...

The present study examined three different methods of data collection in which subjects judged proximity between object pairs. One method required subjects to partition objects into homogeneous subsets; the second entailed rating object pairs on a similarity-dissimilarity continuum; and the third involved comparing inter-object proximities to a fixed standard. The three types of proximities were analyzed by the nonmetric multidimensional scaling procedure, and subsequent multidimensional...

Topics: ERIC Archive, Data Collection, Distance, Evaluation Methods, Higher Education, Multidimensional...

The Type I error and power properties of the parametric F test and three nonparametric competitors were compared in terms of 3 x 4 factorial analysis of covariance layout. The focus of the study was on the test for interaction either in the presence or absence of main effects. A variety of conditional distributions, sample sizes, levels of variate and covariate correlation, and treatment effect sizes were investigated. The Puri and Sen (M. Puri and P. Sen, 1969) test had ultra-conservative Type...

Topics: ERIC Archive, Analysis of Covariance, Evaluation Methods, Factor Analysis, Interaction,...

It is well known that the two-sample Student t test fails to maintain its significance level when the variances of treatment groups are unequal, and, at the same time, sample sizes are unequal. However, introductory textbooks in psychology and education often maintain that the test is robust to variance heterogeneity when sample sizes are equal. The present study discloses that, for a wide variety of non-normal distributions, especially skewed distributions, the Type I error probabilities of...

Topics: ERIC Archive, Sample Size, Nonparametric Statistics, Probability, Statistical Analysis, Error...